Law Enforcement Using Machine Learning as a Decision Support System for Indonesia’s Corruption Eradication

Roy Rovalino Herudiansyah 1; Pujiyono 2; Nur Rochaeti 3

https://doi.org/10.62271/pjc.171.101.112

Abstract

Over time, law enforcement in Indonesia has experienced various challenges. One of the main issues affecting public trust is the law enforcement of corruption. Currently, efforts to eradicate corruption in Indonesia remain unoptimal due to the issues of integrity and evolving modes of corruption. This article aims to find out, describe, and analyze the phenomenon of law enforcement of corruption and propose alternative solutions to answer these challenges through the use of Artificial Intelligence (AI) technology. This research employed doctrinal legal research methods, resulting in a conceptual framework of law enforcement through the use of machine learning in supporting the detection of corruption-related fund flows in Indonesia. Recommendations include the need for synergy between various parties, strengthening legal culture, and establishing legal norms related to machine learning that support the decision support system.

Keywords: Corruption, Machine Learning, Decision Support System, Corruption Eradication Commission (KPK).